MATEC Web Conf.
Volume 82, 20162016 International Conference on Design, Mechanical and Material Engineering (D2ME 2016)
|Number of page(s)||7|
|Section||Chapter 1: Mechanical Engineering|
|Published online||31 October 2016|
Local Search Optimization for a Multi-state Series-parallel System
School of Mechanical Engineering and Automation, Northeastern University, Shenyang 110004, China
a Corresponding author: firstname.lastname@example.org
Generally, the redundancy allocation problem is characterized as a kind of NP-hard combinatorial optimization problem, which is difficult to solve with the classical method because it has exponentially increasing complexity with the augmented size. In this paper, we propose the efficient approach with two phases that is comprised of particle swarm optimization (PSO), which can efficiently represent the region search, and a local search, to solve the adjacent domains of best particle, which is great useful to improve optimization efficiency, and the parameter of local search is also studied.
© The Authors, published by EDP Sciences, 2016
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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